Cognitive Hierarchy Example
How Meaning Emerges from Layered Abstraction
Cognition is often described as a linear pipeline: inputs go in, decisions come out. But beneath that surface lies a layered architecture—signals, features, symbols, and abstractions and thresholds—that shapes how we perceive and interpret the world.
This post explores a concrete example to show how those layers interact, and why hierarchy isn’t just structural—it’s semantic.
Our brains sort reality through 1Almost Gates, which distill raw perception into pattern. These symbolic thresholds emerge as neural layers extract features as detail fades.
I’ve used hierarchy to organize patterns, categories, and concepts. These semantic structures aren’t imposed—they arise naturally from the way neural layers process information through Almost Gates. Still, the terminology can feel slippery.
So let’s build a simple hierarchy. And watch how meaning begins to stack.
Car as Concept
There’s a car in my driveway. It’s a Ford F-150. 2012. V6 Energy Boost. Kodiak brown, although I swear it’s black 98% of the time. Platinum trim. Bought in 2014 for $46,000 from a dealer. It had been used as a personal vehicle, carefully driven to show off around town. Gas mileage, quite disappointing. Automation features require regular repair.
My little sketch invokes two memory hierarchies in addition to car hierarchy that anyone can check. The first episodic experience has three facts as I experienced them. The second memory is something I was told by an interested party that may be true or false.
Each detail—engine type, trim line, color perception—sits at a different layer of abstraction. As detail fades, the car becomes a category, a symbol, a story. Almost Gates sort the specs from the sentiment.
Tying a Hierarchy to Neurons
Imagine trying to describe the hierarchy that arises from a situation you find yourself in. It would involve external reality, episodic memory, and the emotional salience that shapes attention. That’s already three overlapping systems—each with its own logic and noise. Tracking them all would require constant caveats: note this, ignore that, we’re not exploring this now. The result? A chaotic, unsatisfying hierarchy.
Now add the immense interconnections in the brain: local layers working on unified tasks, inputs arriving from other modules, outputs feeding into yet more systems. Much of what any module does depends on what others are doing—and explaining all of it quickly becomes a distraction from the function we’re trying to isolate.
To make hierarchy tractable, we need a function that’s focused yet relatively insulated. Something with a clear input stream, a layered processing structure, and outputs we can trace.
Vision fits the bill.
The brain has roughly 15 billion cortical neurons, each with thousands of connections. They handle sensory input and help decide what it means to us. Among these, the visual system—starting at V1 in the occipital lobe—offers a uniquely structured example. It receives about 1 million inputs from the optic nerve, fed directly from the eyes. The occipital lobes (below) are smeared with interconnections.
The visual cortex is intricate—its web of connections spans half the brain. But the eye itself? It’s a marvel of focused abstraction. A self-contained hierarchy machine, compressing reality into signals the brain can begin to interpret. That’s where we’ll start.
Retina to Optic Nerve
In the retinal image above, light enters from the right and travels to the far left, where it reaches the pigmented epithelium. There, rods and cones release neurotransmitters into a layered network of bipolar cells. Rod signals pass through the amacrine network, while cone signals connect directly to bipolar cells. These, in turn, feed into ganglion cells, which convert graded potentials into full on/off spikes. Their bundled axons form the optic nerve—roughly 0.75 to 1.5 million fibers strong.
This isn’t just a biological relay—it’s a hierarchy of abstraction. Each layer compresses detail, extracts features, and prepares the signal for symbolic interpretation.
Eye Hierarchy: From Raw Data to Features
What follows is a condensed mapping of how the retina transforms raw input into emergent information. These layers serve not just anatomical functions, but act as precursors to visual symbolic hierarchy.
From a base of 125 million photoreceptors, the eye begins its abstraction cascade:
Photoreceptors
Rods detect dimness and general movement.
Cones detect color with spatial precision.
Both encode contrast by comparing signals with neighboring cells.
Bipolar cells (~20 million)
Aggregate rod input into imprecise location, movement, and persistence.
Extract cone input into color, precise location, and temporal dynamics.
Serve as the first layer of feature compression.
Ganglion cells (~0.75–1.5 million)
Detect edges and structural coherence.
Convert graded signals into binary spikes.
Package features into the optic nerve for delivery to the occipital lobe.
Eye Feature Mapping
By the time the signal exits the eye, much of the world has already been abstracted—lit or unlit, moving or still, colored or not. The retina doesn’t just receive light; it sorts reality into symbolic fragments the brain can begin to interpret.
Semantic Hierarchy
Let’s get to the meat of the matter—semantic hierarchies. These are the layered structures of meaning we use in our thoughts, reactions, and decisions. Unlike the relatively isolated hierarchy of the eye, semantic hierarchies live in the isocortex, where they’re deeply interwoven with memory, emotion, and other brain systems.
Over the years, I’ve developed a hierarchy of beliefs about our son. He’s helpful, not argumentative, but occasionally impulsive. Recently, he passed his driver’s license test and earned a discounted insurance rate thanks to good grades.
Then today, I heard a news alert: a car accident with injuries—across town, near a Dairy Queen. My son had borrowed the car an hour earlier to go to the library.
Could my son be involved?
My concern spikes. The accident location overlaps with one of his known habits—he stops at Dairy Queen whenever he can afford a Strawberry Blizzard. But then I relax. The car reported matches ours only at the most generic level.
My son has many higher-tier activities—library, errands, routines—before he’d end up at Dairy Queen. I can relax.
This is an Almost Gate in action. As detail fades, symbolic reasoning takes over. My mind stops tracking every possibility and instead compares hierarchies—filtering emotion through tier-level matches, letting belief override panic.
In this example, I’ve made explicit what usually passes in a flash: a cascade of facts, beliefs, memories, and emotions. It’s the cauldron of cognition—where intersecting hierarchies fuel our reasoning and shape our reactions.
Further Considerations
In the hierarchy example, I glossed over a crucial distinction: the difference between emotional knowledge and higher cognitive reasoning. That’s a topic I plan to explore in a future post—specifically, how emotions emerge from the 3S Imperatives: Sex, Satiety, and Safety.
Also worth deeper examination is how hierarchies operate in the executive regions of the frontal lobes—far removed from raw sensory input and somewhat distanced from episodic memory. Here, semantic categories become highly abstract, yet remain tethered to memory through layered hierarchies. These abstract roots are shuttled into working memory, where patterns and verbal knowledge can be considered together in the search for an optimal response.
For a surprisingly accessible dive into this dynamic, I recommend Your Memory: A User’s Guide by Alan Baddeley—especially the chapter on working memory’s fluid architecture.
Meaning doesn’t arrive fully formed. It’s distilled—layer by layer—from raw input into structured categories. Whether through the eye’s feature extraction or the mind’s semantic scaffolding, cognition is a hierarchy of feature extraction —where meaning emerges as detail fades.
Ethics and Morality
Meaning emerges as detail fades—and that includes the meanings we assign to right and wrong.
Where do ethics and morality fit in the hierarchy of knowledge?
They’re not natural in the biological sense, nor supernatural in the mystical sense. Like language, they likely emerged from the emotional patterns of successful ancestral leaders—codified over generations into shared norms. I suspect ethics and morality are culturally endowed emotional templates, learned as essential elements of a safe and orderly society.
What do you think?
Citation. Occipital lobes by the original uploader was Washington Irving (LOL) at English Wikipedia. - These images were created using Blender and Matlab.. Originally from en.wikipedia; description page is/was here., CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=1643737
Citation. Retina Micrograph. The Eye Window of the World. Torstar Books Inc, 1984. George V. Kelvin with help from Gerald Robinson, National Institutes of Health
Almost Gates are symbolic thresholds where abstraction by neural layer transitions entails fidelity loss.